Builds Docker Image for Loading Pinecone Database with Vectors from CVE data.
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Published by vk-NEU7 2 months ago
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
Converse with book - Built with GPT-3
Semantic search with openai's embeddings stored to pineconedb (vector database)
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviat...
♾️ toolkit for air-gapped LLMs on consumer-grade hardware
Embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 a...
An accessible, reliable, and efficient platform for medical information and support using LLMs
GPT4 & LangChain Chatbot for large PDF docs
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use Op...
🦜⛏️ Did you say you like data?
Local first semantic code search and chat powered by vector embeddings and LLMs
A Retrieval-Augmented Generation (RAG) model built using LLaMA 3.1 and LangChain.
Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Ret...
A notion chatbot for your knowledge base built with langchain, typescript/javascript and pinecone.
This repository is a 'Chat-with-your-PDF' project using RAG approach.